{"id":1097014,"url":"https://alion.io/job/agentio-research-engineer-applied-ai","title":"Founding Research Engineer, Applied AI","company":{"id":669066,"name":"Agentio","domain":"agentio.com","url":"https://alion.io/company/agentio","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":86,"open_postings":16,"ghost_share":0,"stale_share":0.563,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-07T05:47:08Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":195000,"max":400000,"currency":"USD","period":"year","gross":null,"usd_annual":400000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Fine-tuning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Post-training","optional":false},{"name":"Reinforcement Learning","optional":false}],"status":"live","first_seen_at":"2026-09-21T18:35:27Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-11-08T00:09:49Z","board_verified":true,"closed_at":null,"days_open":47,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":46},"description":"About Agentio\nAgentio builds AI-native infrastructure for creator advertising. Our platform uses AI to turn creative and performance signals into campaign strategies, match brands with creators, recommend sponsorship prices, and review videos against brand requirements.\nEach campaign generates feedback: how brands respond to our recommendations, which offers creators accept, and how the resulting content performs. We build self improving loops that learn from these behaviors and outcomes to better understand preferences, predict performance, and improve campaign decisions.\nWe're looking for a Research Engineer to advance that work through applied AI and ML research, developing models that improve the platform's predictions and automate more of the decisions behind creator advertising.\nThe work spans research and production. You'll evaluate methods from academia and industry, adapt and train models on Agentio's proprietary data, develop new approaches when existing methods fall short, and work with engineering and product to ship them.\nWhat You'll Work On\nMultimodal intelligence. Build systems that understand creators, brands, briefs, and content across video, audio, image, and text.\nRanking, recommendation, and prediction. Develop models that predict creator-brand fit and campaign outcomes and make better decisions from sparse, heterogeneous feedback.\nFoundation models and agents. Apply LLMs and multimodal models to campaign planning, discovery, creative understanding, execution, and optimization. Use Agentio's proprietary data for prompting, retrieval, fine-tuning, post-training, and, where it makes sense, specialized model training.\nLearning and decision-making. Turn campaign data into training signals, evals, and learning loops while tackling problems in optimization, exploration, measurement, and marketplace dynamics.\nPart of the role is deciding which advances in AI and ML are useful for Agentio and where new methods are needed.\nWhat You'll Do\nOwn research problems from problem definition and experimentation through production.\n\nEvaluate relevant AI and ML methods against Agentio's data, build rigorous experiments and evaluations, and measure performance in production.\n\nDevelop models, algorithms, training approaches, or datasets when existing techniques aren't sufficient. Work with engineering and product to ship successful approaches.\n\nHelp set Agentio's research agenda and technical standards for applied ML.\n\nWho We're Looking For\nWe're looking for someone with strong research judgment who also wants to build production systems.\nDemonstrated experience conducting applied ML research, with original work shown through production ML systems, publications, open-source research, or comparable contributions. A PhD or advanced degree in ML, AI, computer science, statistics, or a related field is useful but not required.\n\nDepth in one or more areas such as foundation models, multimodal learning, recommendation and ranking, representation learning, reinforcement learning and decision-making, causal inference, optimization, or adjacent fields.\n\nAbility to turn ambiguous product problems into tractable research questions, run rigorous experiments, and translate successful approaches into production systems.\n\nStrong engineering skills and experience taking ML work beyond prototypes.\n\nStrong knowledge of current AI research and the judgment to determine which methods are useful in practice.\n\nWhat You'll Get\nThe opportunity to build the research function at a first-of-its kind business and make a meaningful impact in the way brands share their stories and creators live off their work.\n\nCrash-course in what it takes to scale a start-up with first-hand exposure to the different foundational business drivers and needs.\n\nThe chance to work with an exceptional team and help build our engineering culture\n\nA collaborative, transparent, and engaging work environment.\n\nBenefits & Perks\nFlexible PTO - Take the time you need to recharge\n\nComprehensive Health Coverage - Top medical plan through Aetna\n\nDental & Vision Plans - Protect your smile and your sight with coverage from Guardian\n\n401(k) Retirement Plan - Invest in your future while you build your career\n\n$100 Monthly Lifestyle Credit - Use it to shop with our amazing Agentio Brand Partners\n\nDaily lunches and snacks in the office to keep you at your best\n\nDinner provided Monday - Thursday\n\nFully subsidized gold tier access on Wellhub (Includes LifeTime, Barry's, Solidcore, Headspace, etc)\n\nGym in the building! - Your workout, right downstairs\n\nAgentio is an equal-opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. 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